Analysing the Player Performances in the IPL Season 2025
DOI:
https://doi.org/10.58445/rars.3492Keywords:
Indian Premier League (IPL), Player Performance, Batting, Bowling, Statistical Evaluation, Performance MetricsAbstract
The Indian Premier League (IPL) is one of the most popular leagues in the world. It is watched by a wide range of audiences throughout the world. The current study is based on the stats which are extracted from IPL 2025 datasets. This study aims to identify the best players throughout the season and comment on which player performed the best in their respective domain. In the present study, data are analysed at the player level for the season, which is summarised from the IPL 2025 season, and maintained in separate batting and bowling tables. To reduce the sample size, certain conditions are applied to batters and bowlers. The batters who at least faced 100 balls (BF> 00) and bowlers who have at least bowled 15 overs. The present study analyses player performances for the IPL 2025 season. The findings of the study can be used for several businesses and stakeholders in sports and IPL. Sports analysts can refer to the findings to find patterns in bowling and batting and predict how these players would perform in future series. IPL team owners can decide which players to buy during the auction for next season, and fantasy sports betting companies can look at the findings to make informed decisions.
References
Gollapudi, N. (2024, September 26). IPL 2025: No increase in number of matches as BCCI wary of India’s workload. ESPNcricinfo. https://www.espncricinfo.com/story/ipl-2025-with-player-workload-in-mind-no-increase-in-number-of-matches-played-1452783
ICC Men’s Twenty20 International Playing Conditions. (n.d.). https://documents.bcci.tv/bcci/documents/Mens_Twenty20_International_Playing_Conditions-Effective_December_2023.pdf
ICC. (2009). International Cricket Council. Icc-Cricket.com. ICC. (2009b). International Cricket Council. Icc-Cricket.com. https://www.icc-cricket.com/about/cricket/game-formats/the-three-formats
Kaviya, A., & Mishra, A. (2020). Comprehensive Data Analysis and Prediction on IPL using Machine Learning Algorithms. International Journal on Emerging Technologies, 11(3), 218–228. https://www.researchtrend.net/ijet/pdf/Comprehensive%20Data%20Analysis%20and%20Prediction%20on%20IPL%20using%20Machine%20Learning%20Algorithms%20Valarmathi%20B%202113j1.pdf
Longmore, A. (2024, March 3). Indian Premier League | Indian cricket league. Encyclopedia Britannica. https://www.britannica.com/topic/Indian-Premier-League
Sloane, S. (2020). Analysis of Performance Indicators in IPL Twenty20 Cricket from 2015 to 2017. https://scholar.ufs.ac.za/server/api/core/bitstreams/c2f1d153-62f5-4dda-b05d-3943d3f3b729/content
Trade Brains. (2025, June 22). Top 10 Richest Cricket Leagues in the World (2025): Updated List. Trade Brains. https://tradebrains.in/top-10-richest-cricket-leagues-in-the-world-2025-updated-list/
Vinayak S. (2025). IPL 2025. Kaggle.com. https://www.kaggle.com/datasets/vinayaks0n1/ipl-2025/data
Winners, I. (2023). IPL History - IPL Winners List - Piramal Finance. Piramal Finance. https://www.piramalfinance.com/vidya/history-of-ipl
Downloads
Posted
Categories
License
Copyright (c) 2025 Rohan Cheekati

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.